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92 lines
3.1 KiB
Markdown
Vendored
92 lines
3.1 KiB
Markdown
Vendored
---
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title: cpcs
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description: This documentation page provides information on how to use cpcs, a feature
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of OpenBB's finance software, to get and display the number of companies per country
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in a specific sector. Multiple parameters are available to allow customised queries.
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Source code links are also provided.
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keywords:
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- CPCS feature
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- number of companies per country
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- specific sector
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- market cap
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- finance software
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- customize queries
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- parameters
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---
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
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<HeadTitle title="stocks.sia.cpcs - Reference | OpenBB SDK Docs" />
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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<Tabs>
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<TabItem value="model" label="Model" default>
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Get number of companies per country in a specific sector (and specific market cap).
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Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/stocks/sector_industry_analysis/financedatabase_model.py#L360)]
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```python
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openbb.stocks.sia.cpcs(sector: str = "Technology", mktcap: str = "Large", exclude_exchanges: bool = True)
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```
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---
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## Parameters
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| Name | Type | Description | Default | Optional |
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| ---- | ---- | ----------- | ------- | -------- |
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| sector | str | Select sector to get number of companies by each country | Technology | True |
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| mktcap | str | Select market cap of companies to consider from Small, Mid and Large | Large | True |
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| exclude_exchanges | bool | Exclude international exchanges | True | True |
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---
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## Returns
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| Type | Description |
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| ---- | ----------- |
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| dict | Dictionary of countries and number of companies in a specific sector |
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---
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</TabItem>
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<TabItem value="view" label="Chart">
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Display number of companies per country in a specific sector. [Source: Finance Database]
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Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/stocks/sector_industry_analysis/financedatabase_view.py#L675)]
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```python
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openbb.stocks.sia.cpcs_chart(sector: str = "Technology", mktcap: str = "Large", exclude_exchanges: bool = True, export: str = "", raw: bool = False, max_countries_to_display: int = 15, min_pct_to_display_country: float = 0.015, external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)
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```
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---
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## Parameters
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| Name | Type | Description | Default | Optional |
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| ---- | ---- | ----------- | ------- | -------- |
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| sector | str | Select sector to get number of companies by each country | Technology | True |
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| mktcap | str | Select market cap of companies to consider from Small, Mid and Large | Large | True |
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| exclude_exchanges | bool | Exclude international exchanges | True | True |
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| export | str | Format to export data as | | True |
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| raw | bool | Output all raw data | False | True |
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| max_countries_to_display | int | Maximum number of countries to display | 15 | True |
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| min_pct_to_display_country | float | Minimum percentage to display country | 0.015 | True |
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| external_axes | Optional[List[plt.Axes]] | External axes (1 axis is expected in the list), by default None | None | True |
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---
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## Returns
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This function does not return anything
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---
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</TabItem>
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</Tabs>
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